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Title: An analysis of industry-specific effects in Scottish industry
Author: Notman, David W.
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 1998
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This thesis may be divided into three sections in line with the following objectives :- 1. to use panel data techniques to estimate a set of (net) industry-specific effects (ISEs) in profit for a number of Scottish industries. 2. to isolate and determine variables that may underlie the distribution of (net) industry-specific effects, 3. to respecify the Structure-Conduct-Performance (SCP) Paradigm. The set of (net) ISEs in profit is obtained by estimating a succession of panel data models based on a Scottish industry dataset which maximises cross-industry heterogeneity (Chapter 3). These general covariance models (GCMs) for the Scottish industrial sector are composed of cross-industry structural variables and a set of industry-specific parameters (essentially a set of industry dummies). The variables that may be responsible for the set of (net) ISEs in profit form the second part of this research thesis. Included in this analysis are :- 1. business cycle factors (Chapter 4), 2. accounting measures and ratios (Chapter 5), 3. indigenous industry conduct (Chapter 6). The presence of business cycle factors - the notion that industries operate on different stages of the business cycle - are tested using industry-per-time period models. These models are analogous to general covariance models except that instead of industry-specific dummies, the dummies are denoted for both time interval and industry. Correlating accounting measures such as income gearing and the borrowing ratio with (net) ISEs is one method of testing the importance of this rich source of data. Here the thesis attempts to redress the bias in IO literature against the use of accounting datasets. Spatial factors also figure heavily in this thesis, with the likelihood that geographical market segmentation has links with industry profits. Finally, the role of indigenous industry conduct (firms playing games unconditioned by market structure) is considered as a possible determinant of (net) ISEs in profit.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available